Machine-Learning Model for the Prediction of Hypoxaemia during Endoscopic Retrograde Cholangiopancreatography under Monitored Anaesthesia Care

PURPOSE: Hypoxaemia is a significant adverse event during endoscopic retrograde cholangiopancreatography (ERCP) under monitored anaesthesia care (MAC); however, no model has been developed to predict hypoxaemia. We aimed to develop and compare logistic regression (LR) and machine learning (ML) model...

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Detalles Bibliográficos
Autores principales: Kang, Huapyong, Lee, Bora, Jo, Jung Hyun, Lee, Hee Seung, Park, Jeong Youp, Bang, Seungmin, Park, Seung Woo, Song, Si Young, Park, Joonhyung, Shim, Hajin, Lee, Jung Hyun, Yang, Eunho, Kim, Eun Hwa, Kim, Kwang Joon, Kim, Min-Soo, Chung, Moon Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Yonsei University College of Medicine 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826962/
https://www.ncbi.nlm.nih.gov/pubmed/36579376
http://dx.doi.org/10.3349/ymj.2022.0381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826962/
https://www.ncbi.nlm.nih.gov/pubmed/36579376
http://dx.doi.org/10.3349/ymj.2022.0381

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